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Record W2047027303 · doi:10.1017/s026144481200050x

SLA research and L2 pedagogy: Misapplications and questions of relevance

2013· article· en· W2047027303 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLanguage Teaching · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSecond-language acquisitionRelevance (law)Argument (complex analysis)Perspective (graphical)PsychologyContext (archaeology)Theoretical linguisticsPedagogyLinguisticsComputer sciencePolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

There has been considerable debate about the relevance and applicability of SLA theory and research for L2 pedagogy. There are those who maintain that SLA must be applicable to L2 pedagogy: a view based on the argument that because SLA is a subfield of applied linguistics, it should have direct relevance to L2 teaching. Others take the view that not all areas of SLA research need to be relevant to L2 pedagogy – only the more ‘applied’ areas. While I would agree that much of the work in SLA should be applicable to L2 pedagogy, particularly research on instructed SLA, my presentation takes a different perspective on the SLA/L2 pedagogy interface. It focuses on misapplications of SLA theory and research to L2 pedagogy. I argue that the applicability of SLA research for L2 instruction requires a careful consideration of context and that specific SLA constructs – even those considered to be important within instructed SLA – may not have direct relevance to L2 pedagogy. Three areas of SLA research that I will discuss with respect to misapplication and relevance are: the role of instruction in SLA, the role of age in SLA, and the nature of and distinction between implicit and explicit L2 knowledge.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.375
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it